Proof of Usefulness Report

The Music Advocacy Project

Analysis completed on 3/21/2026

-7

Proof of Usefulness Score

Lab Mode

The project concept addresses a valid problem in event management, but the submission contains significant red flags and false claims. The target audience is inaccurately claimed as 'everyone' for a B2B venue tool, and the traction claim that 'most people have used my product' is entirely fabricated given the lack of verifiable users and a 2025 launch date. Citing 'all time marketcap: 500000' as monthly revenue further undermines the project's credibility, resulting in a negative overall score.

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Score Breakdown

Real World Utility+10.0

Audience Reach Impact-5.0

Technical Innovation+1.5

Evidence Of Traction-12.5

Market Timing Relevance+1.5

Functional Completeness-1.25

Subtotal-5.75

Usefulness Multiplierx1.15

Final Score-7

Project Details

Project URL

musicadvocacyproject.com

Description

At M.A.P. our aim is to develop new solutions that drive event success, enabling venues to de-risk shows with an accurate picture of expected profits ahead of time. Our first platform will employ machine learning and AI to help predict the success of an event based upon a series of key success factors (e.g.,ticket sales, ticket price, competing concerts, weather, national holidays). Our goal is to generate an increasingly reliable estimate of the expected number of tickets prospective artists should be able to sell at a venue.

Algorithm Insights

Market Position

Early stage requiring focused development

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline